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[Bosch R&D - Internship] AI Agent Building Intern
An Khanh Ward, Ho Chi Minh City, VietnamPosted 1 weeks ago
Full-timeonsiteInternship
Job Description
- Support the development of AI Agents for Engineering use cases using Microsoft Copilot Studio, Python, and LangChain framework.
- Understand core components of AI Agent architecture, including prompt design, tool integration, memory management, orchestration, and evaluation of responses.
- Design and implement data ingestion pipelines, connecting to enterprise data sources (e.g., SharePoint, databases, APIs) to enable intelligent retrieval and summarization.
- Support the development of agent workflows for engineering processes (e.g., document analysis, test report summarization, problem-solving support such as 8D).
- Assist in building and integrating AI capabilities into existing platforms (e.g., Microsoft ecosystem: Azure, Power Platform, DevOps).
- Conduct testing, evaluation, and performance measurement of AI agents (accuracy, latency, completeness of answers), and document results.
- Collaborate with product owners, engineers, and data experts to continuously improve agent capabilities and usability.
- Undergraduate student majoring in Computer Science, Software Engineering, Data Engineering, AI/ML, or related fields.
- Strong background in programming and computational problem solving (preferably Python).
- Basic understanding or experience (academic projects acceptable) in AI/ML, NLP, or chatbot/agent development.
- Familiarity with Python frameworks (e.g., LangChain), REST APIs, or Microsoft platforms (Power Platform, Azure) is a plus.
- Strong interest in AI Agent technologies, Generative AI, and applied engineering use cases.
- Willingness to learn new technologies, proactive mindset, and ability to work independently with minimal guidance.
- Good communication skills in English and ability to work in an international team environment.
- A learning-driven, professional, inclusive multinational work environment fosters personal growth and expands professional networks.
- An attractive monthly allowance.
- Hands-on experience in an advanced engineering simulation and product development field.
- Opportunity to apply technical knowledge skills in a real work.
- Collaboration with experienced engineers and professionals.